0
  • DE
  • EN
  • FR
  • International Database and Gallery of Structures

Advertisement

Accounting for spatial variability in partial factor based design verifications

 Accounting for spatial variability in partial factor based design verifications
Author(s): ORCID, ORCID
Presented at IABSE Congress: Structural Engineering for Future Societal Needs, Ghent, Belgium, 22-24 September 2021, published in , pp. 1805-1812
DOI: 10.2749/ghent.2021.1805
Price: € 25.00 incl. VAT for PDF document  
ADD TO CART
Download preview file (PDF) 0.19 MB

Traditional design and assessment approaches usually assume that e.g. material properties and environmental influences are uniform in space. However, it is well-known that such parameters can show ...
Read more

Bibliographic Details

Author(s): ORCID (Department of Structural Engineering and Building Materials, Ghent University, Ghent, Belgium)
ORCID (Department of Structural Engineering and Building Materials, Ghent University, Ghent, Belgium)
Medium: conference paper
Language(s): English
Conference: IABSE Congress: Structural Engineering for Future Societal Needs, Ghent, Belgium, 22-24 September 2021
Published in:
Page(s): 1805-1812 Total no. of pages: 8
Page(s): 1805-1812
Total no. of pages: 8
DOI: 10.2749/ghent.2021.1805
Abstract:

Traditional design and assessment approaches usually assume that e.g. material properties and environmental influences are uniform in space. However, it is well-known that such parameters can show considerable spatial variability. Furthermore, it has been shown that such spatial variability can significantly influence structural reliability. One way to account for spatial variability is by means of random fields. However, the use of such advanced calculations has not found its way to everyday engineering practice. Therefore, a methodology is developed in order to include spatial variability in the partial factor method in a way which is consistent with the current Eurocode format for design. This is done by introducing a separate partial factor which depends on the correlation length and the variability of the parameter under consideration. As such, an easy-to-use graph is generated, which can be applied in practice for the adjustment of partial factors to take into account spatial correlation. Finally, the proposed approach is validated by means of full-probabilistic calculations.

Keywords:
partial factor method structural reliability spatial variability
Copyright: © 2021 International Association for Bridge and Structural Engineering (IABSE)
License:

This creative work is copyrighted material and may not be used without explicit approval by the author and/or copyright owner.